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• Big Data Analytics and Cloud Data Management.- Internet of Things and Applications.- Security and Privacy Engineering.- Data Protection and Data Hiding.- Advances in Authentication and Data Access Control.- Access Control in NoSQL and Big Data.- Context-based Data Analysis and Applications.- Emerging Data Management Systems and Applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third International Conference on Future Data and Security Engineering, FDSE 2016, held in Can Tho City, Vietnam, in November 2016. The 27 revised full papers and 2 short papers presented were carefully reviewed and selected from 115 submissions. They have been organized in the following topical sections: Big Data Analytics and Cloud Data Management; Internet of Things and Applications; Security and Privacy Engineering; Data Protection and Data Hiding; Advances in Authentication and Data Access Control; Access Control in NoSQL and Big Data; Context-based Data Analysis and Applications; Emerging Data Management Systems and Applications.
(source: Nielsen Book Data)

• Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data
• Frequent Item-set Border Approximation by Dualization
• Dynamic Materialization for Building Personalized Smart Cubes
• Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.

This volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

• Development of a Measurement Scale for User Satisfaction with E-Tax Systems in Australia
• Data Driven Governments: Creating Value through Open Government Data
• Collaborative Construction of an Open Official Gazette
• A Solution to Visualize Open Urban Data for Illegally Parked Bicycles
• An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact
• Characterization of Behavioral Patterns Exploiting Description of Geographical Areas
• Analysis of Customers Spatial Distribution through Transaction Datasets
• Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.